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Abstract #3406

Deep Learning based displacement transform estimation for EPI distortion correction

Dattesh Dayanand Shanbhag1 and Chitresh Bhushan2

1GE Global Research, Bangalore, India, 2GE Global Research, Niskayuna, NY, United States

In this work, we propose a DL methodology to estimate the displacement field transform (DL_DispMap) from distorted DWI-EPI images. Compared to direct estimation of distortion-free images, we establish that DL_DispMap provides better training accuracy and mitigates the smoothening effect noticed in DL_Direct. The DL_DispMap corrected images are well matched (SSIM = 0.97) to gold-standard INVERSION method based distortion-free images in performance but might be needed to be tuned for an anatomy and system configuration. The method can potentially be also applied for fMRI studies

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